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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

d0rj

e5-base-en-ru

d0rj/e5-base-en-ru
Model details
sentence similarity and retrievalLicense: mitSHA-256 recorded for 10 of 13 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

8 hosted of 13 listed

Hashes recorded. Date not recorded.

FileTamanhoSHA-256OrigemBaixar
Weights
model.safetensors Default529.4 MB
aaae443d…fa860248aaae443d131c93c916af28649b8bdfa158087b48ece3a1e6a1e2192cfa860248
HostedBaixar
pytorch_model.bin529.5 MB
95d81c27…afa44f2195d81c27bdb8a225fa946c4baf0f834b9bb1c215cf8780e28f343939afa44f21
Upstream onlyFile metadata
Tokenizer & config
1_Pooling/config.json190 bytes—Upstream onlyFile metadata
config.json702 bytes
cee4f1c1…c1928ad0cee4f1c11df577c964da031c596fc2e12df9fbf37280b2c5d5321d38c1928ad0
HostedBaixar
config_sentence_transformers.json118 bytes
b6a47fd3…63676ccdb6a47fd35c073274a3df8e2aae57d55baccbc6826699d4501eae820b63676ccd
HostedBaixar
sentence_bert_config.json53 bytes
a58353e2…76296286a58353e24faf34faae1163c0b1b204cd044d9bc0d9b33523a1f23e9d76296286
HostedBaixar
sentencepiece.bpe.model1.27 MB
34e9d938…af20acd634e9d938fbab77d2bb4acd48953c66bb7ad2d0b675b4c0911e6ed25caf20acd6
Upstream onlyFile metadata
special_tokens_map.json279 bytes
d5469a60…77b1b535d5469a60db23249c7f8945013d78df30b44b6bf686c6bb4740f4223f77b1b535
HostedBaixar
tokenizer.json4.23 MB
df7609ba…efe02dc6df7609bacb8869a7fd698625aa65f6f1bcbbc4d621432d286e631ed0efe02dc6
HostedBaixar
tokenizer_config.json471 bytes
ce503045…5a0b4713ce50304582ca15b925982e96dfe56548ddbaba89b584e73176d6bb3a5a0b4713
HostedBaixar
modules.json349 bytes
84e40c8e…7cf642cf84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf
HostedBaixar
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md5.17 KB—Upstream onlyFile metadata

Verificar um download

In the folder where you saved model.safetensors, run:

macOS
shasum -a 256 -- 'model.safetensors'
Linux
sha256sum -- 'model.safetensors'
Windows
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.